GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T16:53:27Z,
for the dataset file:///shared/st-albert-transit.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Edmonton Transit Service
Publisher URL:
http://www.takeets.com
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2021-03-15
Feed End Date:
2021-03-27

Files included

  1. agency.txt
  2. calendar_dates.txt
  3. fare_attributes.txt
  4. fare_rules.txt
  5. feed_info.txt
  6. routes.txt
  7. shapes.txt
  8. stop_times.txt
  9. stops.txt
  10. transfers.txt
  11. trip_pattern.txt
  12. trips.txt

Counts

  • Agencies: 2
  • Blocks: 147
  • Routes: 42
  • Shapes: 162
  • Stops: 857
  • Trips: 3004

Specification Compliance report

364 notices reported (350 errors, 13 warnings, 1 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 350

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

Only the first 50 of 350 affected records are displayed below.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"19863976" "S6065" 22512 13533.2 37 22511 13533.2 36
"19863975" "S6065" 22450 13533.2 37 22449 13533.2 36
"19484303" "A0542" 66502 0.0 2 66501 0.0 1
"19484304" "A0542" 66504 0.0 2 66503 0.0 1
"19484301" "A0542" 66498 0.0 2 66497 0.0 1
"19484302" "A0542" 66500 0.0 2 66499 0.0 1
"19484300" "A0542" 66496 0.0 2 66495 0.0 1
"19484305" "A0542" 66506 0.0 2 66505 0.0 1
"19484306" "A0542" 66508 0.0 2 66507 0.0 1
"19863950" "S4000" 21909 9617.3 29 21908 9617.3 28
"19863949" "S4000" 21860 9617.3 29 21859 9617.3 28
"19863948" "S1002" 21784 3193.0 8 21783 3193.0 7
"19863947" "S1002" 21727 3193.0 8 21726 3193.0 7
"19863946" "S1002" 21670 3193.0 8 21669 3193.0 7
"19794434" "A0545" 46311 12895.2 24 46310 12895.2 23
"19794429" "A0545" 46245 12895.2 24 46244 12895.2 23
"19794421" "A0545" 46160 12895.2 24 46159 12895.2 23
"19794427" "A0538" 46202 4522.5 8 46201 4522.5 7
"19484314" "A0971" 66520 0.0 2 66519 0.0 1
"19484315" "A0971" 66522 0.0 2 66521 0.0 1
"19484312" "A0971" 66516 0.0 2 66515 0.0 1
"19484313" "A0971" 66518 0.0 2 66517 0.0 1
"19484311" "A0971" 66514 0.0 2 66513 0.0 1
"19484318" "A0971" 66528 0.0 2 66527 0.0 1
"19484319" "A0971" 66530 0.0 2 66529 0.0 1
"19484316" "A0971" 66524 0.0 2 66523 0.0 1
"19484317" "A0971" 66526 0.0 2 66525 0.0 1
"19794415" "A0545" 46037 12895.2 24 46036 12895.2 23
"19794416" "A0545" 46064 12895.2 24 46063 12895.2 23
"19794413" "A0538" 45978 4522.5 8 45977 4522.5 7
"19794414" "A0538" 45999 4522.5 8 45998 4522.5 7
"19484321" "A0971" 66534 0.0 2 66533 0.0 1
"19484320" "A0971" 66532 0.0 2 66531 0.0 1
"19794400" "A0538" 45759 4522.5 8 45758 4522.5 7
"19794401" "A0545" 45805 12895.2 24 45804 12895.2 23
"19794405" "A0538" 45852 4522.5 8 45851 4522.5 7
"19935279" "S1002" 58525 3193.0 8 58524 3193.0 7
"19935281" "S1002" 58639 3193.0 8 58638 3193.0 7
"19935282" "S1002" 58696 3193.0 8 58695 3193.0 7
"19935283" "S4000" 58772 9617.3 29 58771 9617.3 28
"19935284" "S4000" 58821 9617.3 29 58820 9617.3 28
"19935285" "S4000" 58870 9617.3 29 58869 9617.3 28
"19935286" "S4000" 58919 9617.3 29 58918 9617.3 28
"19935280" "S1002" 58582 3193.0 8 58581 3193.0 7
"19794460" "A0538" 46782 4522.5 8 46781 4522.5 7
"19794461" "A0545" 46828 12895.2 24 46827 12895.2 23
"19794468" "A0538" 46898 4522.5 8 46897 4522.5 7
"19794459" "A0538" 46753 4522.5 8 46752 4522.5 7
"19794441" "A0538" 46394 4522.5 8 46393 4522.5 7
"19794442" "A0538" 46415 4522.5 8 46414 4522.5 7
expired_calendar WARNING 9

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
2 "Blocking-Saturday-4-SCT-MDW21-0000010"
8 "Blocking-Sunday-5-SCT-MDW21-0000001"
14 "Blocking-Weekday-28-STAT-MDW21-1111100"
43 "Blocking-Weekday-6-SCT-MDW21-1111100"
64 "Blocking-Weekday-7-SCT-MDW21-1111100"
65 "Blocking-Weekday-9-SCT-MDW21-1111100"
72 "StAT-Blk-Saturday-21-STAT-MDW21-0000010"
78 "StAT-Blk-Sunday-14-STAT-MDW21-0000001"
79 "StAT-Blk-Sunday-15-STAT-MDW21-0000001"
feed_expiration_date7_days WARNING 1

feed_expiration_date7_days

Dataset should be valid for at least the next 7 days.

The dataset expiration date defined in feed_info.txt is in seven days or less. At any time, the published GTFS dataset should be valid for at least the next 7 days.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. currentDate (?) Current date (YYYYMMDD format). feedEndDate (?) Feed end date (YYYYMMDD format). suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2 "20260123" "20210327" "20260130"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
mixed_case_recommended_field WARNING 1

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:
Field Text Dataset
"Schwerin, Hauptbahnhof" Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin" NYC Ferry
"Campo Grande Norte" Carris
Bad examples:
Field Text
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"routes.txt" "route_long_name" "ABJ SCHOOL" 18
trip_coverage_not_active_for_next7_days WARNING 1

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format). serviceWindowStartDate (?) The start date of the majority service window. serviceWindowEndDate (?) The end date of the majority service window.
"20260123" "20210315" "20210423"
unknown_file INFO 1

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"trip_pattern.txt"